A review of contemporary research on the working memory system (WMS) is important, both due to the need to focus the discussion on further necessary investigations on the structure and function of this key part of the human brain, as well as to share this knowledge with clinicians. In our introduction we try to clarify the actual terminology and provide an intuitively understandable model for 3...

The design and application of an H2O/temperature sensor based on scanned calibration-free wavelength modulation spectroscopy (CF-WMS) and a single tunable diode laser at 1.4 μm is presented. The sensor probes two H2O absorption peaks in a single scan and simultaneously retrieves H2O concentration and temperature by least-squares fitting simulated 1f-normalized 2f-WMS spectra to measured 2f/1f-W...

AIMS Global measures of left ventricular (LV) function, in particular LV ejection fraction (LVEF) and global myocardial strain measures, are powerful predictors of outcomes in patients with LV dysfunction, heart failure, or both. However, less is known about the relationship between regional myocardial function, especially that assessed by strain echocardiography and clinical prognosis. METHO...

Based on the nationwide survey into inpatients' utilization of the health service covered by China's urban basic medical insurance from 2008 to 2010, we analyzed the use rate, cancer profile and combined use of anticancer Chinese patent medicines (CPMs) on 51,382 insured cancer patients by using statistical, bi-clustering and network methods. We found that 42.4% of 51,382 cancer patients used 3...

In this paper, the wavelength modulation spectroscopy (WMS) technique is modified and used for measuring methane with large absorbance. WMS has been frequently gas measurement relies on linear relationship between second harmonic amplitude volume concentration however, conventional only applicable gases whose absorbance much smaller than 1, which because of first-order approximation to Lambert-...

Two Machine Learning algorithms – LASSO and Random Forest are applied to derive regression models for the prediction of gas bubble diameters using supervised learning techniques. Experimental data obtained from wire-mesh sensor (WMS) measurements in a deionized water/air system serve as base. Python libraries used extract features characterizing WMS measurement signals single passing bubbles. P...

Conventional wavelength modulation spectroscopy (WMS) is vulnerable to the influence of low-frequency noise. Accuracy method highly depends on performance costly lock-in amplifier. In this article, we report a new and effective for reconstructing second-harmonic signals through WMS based fast Fourier transform (FFT). This less disturbed by noise because it does not use ramp wave. Formulation de...

Resourceful use of waste masks (WMs) has become an important challenge for humanity with the spread coronavirus disease (COVID-19).

The Wechsler Memory Scale-Revised (WMS-R) is one of the internationally well-known batteries for memory assessment in a general memory clinic setting. Several factor structures of the WMS-R for patients aged under 74 have been proposed. However, little is known about the factor structure of the WMS-R for patients aged over 75 years and its neurological significance. Thus, we conducted explorato...